[jira] [Updated] (SPARK-6923) Spark SQL CLI does not read Data Source schema correctly

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-6923?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust updated SPARK-6923:
------------------------------------
    Assignee: Cheng Hao

> Spark SQL CLI does not read Data Source schema correctly
> --------------------------------------------------------
>
>                 Key: SPARK-6923
>                 URL: https://issues.apache.org/jira/browse/SPARK-6923
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: pin_zhang
>            Assignee: Cheng Hao
>            Priority: Critical
>
> {code:java}
> HiveContext hctx = new HiveContext(sc);
> List<String> sample = new ArrayList<String>();
> sample.add( "{\"id\": \"id_1\", \"age\":1}" );
> RDD<String> sampleRDD = new JavaSparkContext(sc).parallelize(sample).rdd();	
> DataFrame df = hctx.jsonRDD(sampleRDD);
> String table="test";
> df.saveAsTable(table, "json",SaveMode.Overwrite);
> Table t = hctx.catalog().client().getTable(table);
> System.out.println( t.getCols());
> {code}
> --------------------------------------------------------------
> With the code above to save DataFrame to hive table,
> Get table cols returns one column named 'col'
> [FieldSchema(name:col, type:array<string>, comment:from deserializer)]
> Expected return fields schema id, age.
> This results in the jdbc API cannot retrieves the table columns via ResultSet DatabaseMetaData.getColumns(String catalog, String schemaPattern,String tableNamePattern, String columnNamePattern)
> But resultset metadata for query " select * from test "  contains fields id, age.



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